Triple

T20223387
Position Surface form Disambiguated ID Type / Status
Subject Audrey E495314 entity
Predicate maritalStatusInPlot P92865 FINISHED
Object betrothed to Touchstone LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: betrothed to Touchstone | Statement: [Audrey, maritalStatusInPlot, betrothed to Touchstone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: maritalStatusInPlot
Context triple: [Audrey, maritalStatusInPlot, betrothed to Touchstone]
  • A. maritalStatusInDisguise
    Indicates that an entity’s true marital status is being concealed or misrepresented, typically appearing different from what it actually is.
  • B. marital status
    Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
  • C. hasMarriagePlot
    Indicates that the work’s narrative centrally involves courtship, romantic relationships, or the progression toward marriage as a key plot element.
  • D. fictionalMaritalStatus chosen
    Indicates that an entity has a marital status that exists only within a fictional, narrative, or hypothetical context rather than in real life.
  • E. spouseStatus
    Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fd827708190b798a30f4e7d533f completed April 20, 2026, 6:26 p.m.
PD Predicate disambiguation batch_69e55b18609481909ab28bc8750a642f completed April 19, 2026, 10:45 p.m.
Created at: April 11, 2026, 11:39 p.m.